| Name | vae-anomaly-detection JSON |
| Version |
2.0.0
JSON |
| download |
| home_page | |
| Summary | Pytorch/TF1 implementation of Variational AutoEncoder for anomaly detection following the paper "Variational Autoencoder based Anomaly Detection using Reconstruction Probability by Jinwon An, Sungzoon Cho" |
| upload_time | 2023-03-18 11:10:48 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | <3.11,>=3.6.2 |
| license | MIT |
| keywords |
vae
anomaly detection
deep learning
pytorch
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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